Global sleep overview (3 subjects Night Owl Early Bird Sleepy Bear)

y variable defined on the left remains the same

total sleep overview

total sleep overview (by day of week)

deep sleep variation (by day of week)

_stress_awake (by day of week)

_stress_awake

Influence from Median_hr_sleep on sleep quality

Influence from median_stress_sleep on sleep quality

Correlation stress & HR

The p-value of the test is less than the significance level alpha = 0.05. We can conclude that hr sleep and stress sleep are significantly correlated with a correlation coefficient beetween 0.64–0.88.

Correlation vigorous_activity_hours & total_sleep_hours

The p-value of the test is more than the significance level alpha = 0.05. We can conclude that variable are not significantly correlated .

Correlation steps & total_sleep_hours

The p-value of the test is more than the significance level alpha = 0.05. We can conclude that variable are not significantly correlated .

**Correlation %_high_stress_30min_before_bedtime & total_sleep_hours**

The p-value of the test is more than the significance level alpha = 0.05. We can conclude that variable are not significantly correlated .

Correlation estimated_sleep_time & total_sleep_hours

The p-value of the test is less (2 participants) than the significance level alpha = 0.05. We can conclude that variable are significantly correlated .

Correlation

ML decision tree

n= 122 

node), split, n, loss, yval, (yprob)
      * denotes terminal node

 1) root 122 24 0 (0.80327869 0.19672131)  
   2) mean_hr_sleep>=46.31655 119 21 0 (0.82352941 0.17647059)  
     4) awake_percentage< 0.03774929 87 10 0 (0.88505747 0.11494253)  
       8) total_sleep_hours>=7.233333 59  2 0 (0.96610169 0.03389831) *
       9) total_sleep_hours< 7.233333 28  8 0 (0.71428571 0.28571429)  
        18) mean_hr_sleep>=52.91096 18  2 0 (0.88888889 0.11111111)  
          36) total_sleep_hours< 7.033333 15  0 0 (1.00000000 0.00000000) *
          37) total_sleep_hours>=7.033333 3  1 1 (0.33333333 0.66666667) *
        19) mean_hr_sleep< 52.91096 10  4 1 (0.40000000 0.60000000)  
          38) rem_sleep_percentage>=0.1308801 5  1 0 (0.80000000 0.20000000) *
          39) rem_sleep_percentage< 0.1308801 5  0 1 (0.00000000 1.00000000) *
     5) awake_percentage>=0.03774929 32 11 0 (0.65625000 0.34375000)  
      10) mean_hr_sleep< 55.234 12  1 0 (0.91666667 0.08333333) *
      11) mean_hr_sleep>=55.234 20 10 0 (0.50000000 0.50000000)  
        22) %_stress_awake>=0.5921907 5  0 0 (1.00000000 0.00000000) *
        23) %_stress_awake< 0.5921907 15  5 1 (0.33333333 0.66666667)  
          46) rem_sleep_percentage>=0.08689563 10  5 0 (0.50000000 0.50000000)  
            92) light_sleep_percentage< 0.7336932 7  2 0 (0.71428571 0.28571429) *
            93) light_sleep_percentage>=0.7336932 3  0 1 (0.00000000 1.00000000) *
          47) rem_sleep_percentage< 0.08689563 5  0 1 (0.00000000 1.00000000) *
   3) mean_hr_sleep< 46.31655 3  0 1 (0.00000000 1.00000000) *

ML using glm( with bad_sleep_outlier_binary ~ ., family = binomial(link = “logit”)

Call:
glm(formula = bad_sleep_outlier_binary ~ ., family = binomial(link = "logit"), 
    data = train)

Deviance Residuals: 
     Min        1Q    Median        3Q       Max  
-2.26785  -0.52968  -0.15352  -0.01901   2.22903  

Coefficients: (1 not defined because of singularities)
                                  Estimate Std. Error z value Pr(>|z|)   
(Intercept)                      5.876e+00  6.501e+00   0.904  0.36603   
total_sleep_hours               -1.565e+00  4.862e-01  -3.219  0.00129 **
light_sleep_percentage           1.958e+01  7.918e+00   2.473  0.01341 * 
deep_sleep_percentage            2.107e+01  7.536e+00   2.796  0.00517 **
rem_sleep_percentage                    NA         NA      NA       NA   
awake_percentage                 1.439e+01  7.543e+00   1.908  0.05641 . 
mean_hr_sleep                    1.119e+00  5.962e-01   1.877  0.06051 . 
median_hr_sleep                 -9.257e-01  5.566e-01  -1.663  0.09631 . 
activity_calories               -6.861e-03  4.479e-03  -1.532  0.12554   
activity_hours                   4.209e-01  8.685e-01   0.485  0.62795   
steps                            1.710e-04  2.208e-04   0.775  0.43851   
distance                         9.287e-05  1.080e-04   0.860  0.38977   
moderate_activity_hours         -8.942e-01  2.217e+00  -0.403  0.68672   
vigorous_activity_hours          6.788e+00  4.031e+00   1.684  0.09216 . 
floors_climbed                   9.936e-03  2.516e-02   0.395  0.69291   
mean_hr_awake                   -3.914e-01  1.912e-01  -2.047  0.04062 * 
`%_stress_awake`                -9.059e-01  2.628e+00  -0.345  0.73028   
mean_hr_30min_before_bedtime     2.747e-02  8.768e-02   0.313  0.75407   
`%_stress_30min_before_bedtime`  4.132e-02  1.497e+00   0.028  0.97798   
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for binomial family taken to be 1)

    Null deviance: 121.874  on 117  degrees of freedom
Residual deviance:  71.901  on 100  degrees of freedom
AIC: 107.9

Number of Fisher Scoring iterations: 7